Detection and repainting of semi-transparent overlays

ABSTRACT

A server includes at least one processor configured to execute a media application to provide media streaming that includes at least one video stream and at least one overlay on the at least one video stream. A portion of the media streaming is redirected by providing a placeholder to indicate positioning geometry of the at least one video stream within a media window, with the placeholder to include the at least one overlay. The processor detects the placeholder and determines positioning geometry associated therewith. A color and an alpha blending factor of the at least one overlay is determined based on calculations involving different colors of the at least one underlay at different times.

RELATED APPLICATIONS

This application is a continuation of application Ser. No. 16/228,945 filed Dec. 21, 2018, which claims the benefit of provisional application Ser. No. 62/667,013 filed May 4, 2018, which are hereby incorporated herein in their entireties by reference.

TECHNICAL FIELD

The present disclosure generally relates to an application virtualization platform allowing virtualized browser and desktop applications to deliver optimized real time communications using a standard Web Real-Time Communication (WebRTC) API.

BACKGROUND

Traditionally, personal computers include combinations of operating systems, applications, and user settings, which are each managed individually by owners or administrators on an ongoing basis. However, many organizations are now using desktop virtualization to provide a more flexible option to address the varying needs of their users. In desktop virtualization, a user's computing environment (e.g., operating system, applications, and/or user settings) may be separated from the user's physical computing device (e.g., smartphone, laptop, desktop computer). Using client-server technology, a “virtualized desktop” may be stored in and administered by a remote server, rather than in the local storage of the client computing device.

There are several different types of desktop virtualization systems. As an example, Virtual Desktop Infrastructure (VDI) refers to the process of running a user desktop inside a virtual machine that resides on a server. VDI and other server-based desktop virtualization systems may provide personalized desktops for each user, while allowing for centralized management and security. Servers in such systems may include storage for virtual desktop images and system configuration information, as well as software components to provide the virtual desktops and allow users to interconnect to them. For example, a VDI server may include one or more hypervisors (virtual machine managers) to create and maintain multiple virtual machines, software to manage the hypervisor(s), a connection broker, and software to provision and manage the virtual desktops.

Desktop virtualization systems may be implemented using a single virtualization server or a combination of servers interconnected as a server grid. For example, a cloud computing environment, or cloud system, may include a pool of computing resources (e.g., desktop virtualization servers), storage disks, networking hardware, and other physical resources that may be used to provision virtual desktops, along with additional computing devices to provide management and customer portals for the cloud system.

Cloud systems may dynamically create and manage virtual machines for customers over a network, providing remote customers with computational resources, data storage services, networking capabilities, and computer platform and application support. For example, a customer in a cloud system may request a new virtual machine having a specified processor speed and memory, and a specified amount of disk storage. Within the cloud system, a resource manager may select a set of available physical resources from the cloud resource pool (e.g., servers, storage disks) and may provision and create a new virtual machine in accordance with the customer's specified computing parameters. Cloud computing services may service multiple customers with private and/or public components, and may be configured to provide various specific services, including web servers, security systems, development environments, user interfaces, and the like.

SUMMARY

A server includes at least one processor configured to execute a media application to provide media streaming that includes at least one video stream and at least one overlay on the at least one video stream. A portion of the media streaming is redirected by providing a placeholder to indicate positioning geometry of the at least one video stream within a media window, with the placeholder to include the at least one overlay. The processor detects the placeholder and determines positioning geometry associated therewith. A color and an alpha blending factor of the at least one overlay is determined based on calculations involving different colors of the at least one underlay at different times.

The processor may be configured to determine the color and the alpha blending factor of the at least one overlay based on calculations involving the first color for the underlay of the placeholder at the first time, and the second color for the underlay of the placeholder at the second time.

The processor may be further configured to provide the at least one video stream, the positioning geometry of the at least one placeholder, and the color and the alpha blending factor of the at least one overlay to a client device for the client device to overlay the at least one video stream over the at least one placeholder within a displayed media window based on the positioning geometry, and to overlay the at least one overlay in the color and alpha blending factor associated therewith.

The color and the alpha blending factor for the at least one overlay may be determined for each pixel in the placeholder.

The color and the alpha blending factor for the at least one overlay may be determined based on the following equations: (pixel color at time 1)=(1−alpha)*(underlay color at time 1)+alpha*(overlay color) (pixel color at time 2)=(1−alpha)*(underlay color at time 2)+alpha*(overlay color)

where alpha=1−(pixel color at time 2−pixel color at time 1)/(underlay color at time 2−underlay color at time 1);

where overlay color=(pixel color−(1−alpha)*underlay color)/alpha;

where pixel color corresponds to a blended color of the underlay color and the at least one overlay color at time 1 or at time 2;

wherein alpha corresponds to the alpha blending factor; and

wherein the overlay color corresponds to the color of the at least one overlay.

The color and the alpha blending factor for the at least one overlay may be determined based on the following equations:

The processor may be further configured to vary the first and second colors to improve color contrast between the underlay color and the at least one overlay color.

The media application may comprise a real-time media application providing real-time communications (RTC), and wherein the processor may be further configured to redirect the portion of the real-time media communications based on injected JavaScript code for WebRTC API redirection.

The processor may be configured to redirect the portion of the media streaming based on at least one of the following: DirectShow filter, DirectX Media Object (DMO) filter, Media Foundation filter, HTML5 video redirection module, Flash video redirection module, Browser Helper Object (BHO), browser extension.

The processor may be further configured to generate non-accelerated graphics for the redirected portion of the media streaming, and analyze the non-accelerated graphics for the at least one placeholder and the at least one overlay.

Another aspect is directed to a method comprising executing a media application to provide media streaming that includes at least one video stream and at least one overlay on the at least one video stream, and redirecting a portion of the media streaming by providing a placeholder to indicate positioning geometry of the at least one video stream within a media window. The placeholder may include the at least one overlay. The placeholder may be detecting and positioning geometry associated therewith may be determined. A color and an alpha blending factor of the at least one overlay may be determined based on calculations involving different colors of the at least one underlay at different times.

Yet another aspect is directed to a computing system comprising at least one video source to provide at least one video stream, and a server as defined above.

BRIEF DESCRIPTION OF THE DRAWINGS

The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.

FIG. 1 is a block diagram of a network environment of computing devices in which various aspects of the disclosure may be implemented.

FIG. 2 is a block diagram of a computing device useful for practicing an embodiment of the client machines or the remote machines illustrated in FIG. 1.

FIG. 3 is a block diagram of an architecture illustrating an application virtualization platform that provides WebRTC API on the virtual desktop server and executes the WebRTC API functionality on the client computing device in which various aspects of the disclosure may be implemented.

FIGS. 4-7 are various windows illustrating an example window monitoring/overlay detection scenario with the architecture illustrated in FIG. 3.

FIGS. 8-9 are updates to the window illustrated in FIG. 7 based on movement of the server-side window.

FIGS. 10-11 are updates to the window illustrated in FIG. 9 based on a rendered server-side application clipping a video stream.

FIG. 12 is a simplified block diagram of the architecture illustrated in FIG. 3 illustrating screen sharing with WebRTC API redirection.

FIG. 13 is a table diagram illustrating a method of detecting semi-transparent overlays that can be used with the architecture illustrated in FIG. 3.

FIGS. 14-17 are sample images illustrating a test run of a method of detecting semi-transparent overlays that can be used with the architecture illustrated in FIG. 3.

FIG. 18 is a block diagram of the architecture illustrated in FIG. 3 modified to support any accelerated graphics media that includes a semi-transparent overlay.

DETAILED DESCRIPTION

The present description is made with reference to the accompanying drawings, in which exemplary embodiments are shown. However, many different embodiments may be used, and thus the description should not be construed as limited to the particular embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. Like numbers refer to like elements throughout, and prime notations are used to indicate similar elements in alternative embodiments.

As will be appreciated by one of skill in the art upon reading the following disclosure, various aspects described herein may be embodied as a device, a method or a computer program product (e.g., a non-transitory computer-readable medium having computer executable instruction for performing the noted operations or steps). Accordingly, those aspects may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.

Furthermore, such aspects may take the form of a computer program product stored by one or more computer-readable storage media having computer-readable program code, or instructions, embodied in or on the storage media. Any suitable computer readable storage media may be utilized, including hard disks, CD-ROMs, optical storage devices, magnetic storage devices, and/or any combination thereof.

Referring initially to FIG. 1, a non-limiting network environment 101 in which various aspects of the disclosure may be implemented includes one or more client machines 102A-102N, one or more remote machines 106A-106N, one or more networks 104, 104′, and one or more appliances 108 installed within the computing environment 101. The client machines 102A-102N communicate with the remote machines 106A-106N via the networks 104, 104′.

In some embodiments, the client machines 102A-102N communicate with the remote machines 106A-106N via an intermediary appliance 108. The illustrated appliance 108 is positioned between the networks 104, 104′ and may be referred to as a network interface or gateway. In some embodiments, the appliance 108 may operate as an application delivery controller (ADC) to provide clients with access to business applications and other data deployed in a datacenter, the cloud, or delivered as Software as a Service (SaaS) across a range of client devices, and/or provide other functionality such as load balancing, etc. In some embodiments, multiple appliances 108 may be used, and the appliance(s) 108 may be deployed as part of the network 104 and/or 104′.

The client machines 102A-102N may be generally referred to as client machines 102, local machines 102, clients 102, client nodes 102, client computers 102, client devices 102, computing devices 102, endpoints 102, or endpoint nodes 102. The remote machines 106A-106N may be generally referred to as servers 106 or a server farm 106. In some embodiments, a client device 102 may have the capacity to function as both a client node seeking access to resources provided by a server 106 and as a server 106 providing access to hosted resources for other client devices 102A-102N. The networks 104, 104′ may be generally referred to as a network 104. The networks 104 may be configured in any combination of wired and wireless networks.

A server 106 may be any server type such as, for example: a file server; an application server; a web server; a proxy server; an appliance; a network appliance; a gateway; an application gateway; a gateway server; a virtualization server; a deployment server; a Secure Sockets Layer Virtual Private Network (SSL VPN) server; a firewall; a web server; a server executing an active directory; or a server executing an application acceleration program that provides firewall functionality, application functionality, or load balancing functionality.

A server 106 may execute, operate or otherwise provide an application that may be any one of the following: software; a program; executable instructions; a virtual machine; a hypervisor; a web browser; a web-based client; a client-server application; a thin-client computing client; an ActiveX control; a Java applet; software related to voice over internet protocol (VoIP) communications like a soft IP telephone; an application for streaming video and/or audio; an application for facilitating real-time-data communications; a HTTP client; a FTP client; an Oscar client; a Telnet client; or any other set of executable instructions.

In some embodiments, a server 106 may execute a remote presentation services program or other program that uses a thin-client or a remote-display protocol to capture display output generated by an application executing on a server 106 and transmit the application display output to a client device 102.

In yet other embodiments, a server 106 may execute a virtual machine providing, to a user of a client device 102, access to a computing environment. The client device 102 may be a virtual machine. The virtual machine may be managed by, for example, a hypervisor, a virtual machine manager (VMM), or any other hardware virtualization technique within the server 106.

In some embodiments, the network 104 may be: a local-area network (LAN); a metropolitan area network (MAN); a wide area network (WAN); a primary public network 104; and a primary private network 104. Additional embodiments may include a network 104 of mobile telephone networks that use various protocols to communicate among mobile devices. For short range communications within a wireless local area network (WLAN), the protocols may include 802.11, Bluetooth, and Near Field Communication (NFC).

FIG. 2 depicts a block diagram of a computing device 100 useful for practicing an embodiment of client devices 102 or servers 106. The computing device 100 includes one or more processors 103, volatile memory 122 (e.g., random access memory (RAM)), non-volatile memory 128, user interface (UI) 123, one or more communications interfaces 118, and a communications bus 150.

The non-volatile memory 128 may include: one or more hard disk drives (HDDs) or other magnetic or optical storage media; one or more solid state drives (SSDs), such as a flash drive or other solid state storage media; one or more hybrid magnetic and solid state drives; and/or one or more virtual storage volumes, such as a cloud storage, or a combination of such physical storage volumes and virtual storage volumes or arrays thereof.

The user interface 123 may include a graphical user interface (GUI) 124 (e.g., a touchscreen, a display, etc.) and one or more input/output (I/O) devices 126 (e.g., a mouse, a keyboard, a microphone, one or more speakers, one or more cameras, one or more biometric scanners, one or more environmental sensors, and one or more accelerometers, etc.).

The non-volatile memory 128 stores an operating system 115, one or more applications 116, and data 117 such that, for example, computer instructions of the operating system 115 and/or the applications 116 are executed by processor(s) 103 out of the volatile memory 122. In some embodiments, the volatile memory 122 may include one or more types of RAM and/or a cache memory that may offer a faster response time than a main memory. Data may be entered using an input device of the GUI 124 or received from the I/O device(s) 126. Various elements of the computer 100 may communicate via the communications bus 150.

The illustrated computing device 100 is shown merely as an example client device or server, and may be implemented by any computing or processing environment with any type of machine or set of machines that may have suitable hardware and/or software capable of operating as described herein.

The processor(s) 103 may be implemented by one or more programmable processors to execute one or more executable instructions, such as a computer program, to perform the functions of the system. As used herein, the term “processor” describes circuitry that performs a function, an operation, or a sequence of operations. The function, operation, or sequence of operations may be hard coded into the circuitry or soft coded by way of instructions held in a memory device and executed by the circuitry. A processor may perform the function, operation, or sequence of operations using digital values and/or using analog signals.

In some embodiments, the processor can be embodied in one or more application specific integrated circuits (ASICs), microprocessors, digital signal processors (DSPs), graphics processing units (GPUs), microcontrollers, field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), multi-core processors, or general-purpose computers with associated memory.

The processor may be analog, digital or mixed-signal. In some embodiments, the processor may be one or more physical processors, or one or more virtual (e.g., remotely located or cloud) processors. A processor including multiple processor cores and/or multiple processors may provide functionality for parallel, simultaneous execution of instructions or for parallel, simultaneous execution of one instruction on more than one piece of data.

The communications interfaces 118 may include one or more interfaces to enable the computing device 100 to access a computer network such as a Local Area Network (LAN), a Wide Area Network (WAN), a Personal Area Network (PAN), or the Internet through a variety of wired and/or wireless connections, including cellular connections.

In described embodiments, the computing device 100 may execute an application on behalf of a user of a client device. For example, the computing device 100 may execute one or more virtual machines managed by a hypervisor. Each virtual machine may provide an execution session within which applications execute on behalf of a user or a client device, such as a hosted desktop session. The computing device 100 may also execute a terminal services session to provide a hosted desktop environment. The computing device 100 may provide access to a remote computing environment including one or more applications, one or more desktop applications, and one or more desktop sessions in which one or more applications may execute.

Additional descriptions of a computing device 100 configured as a client device 102 or as a server 106, or as an appliance intermediary to a client device 102 and a server 106, and operations thereof, may be found in U.S. Pat. Nos. 9,176,744 and 9,538,345, which are incorporated herein by reference in their entirety. The '744 and '345 patents are both assigned to the current assignee of the present disclosure.

Turning now to FIG. 3, the illustrated architecture 300 will be discussed in terms of WebRTC redirection with interception techniques. The architecture 300 allows virtualized browser and desktop applications to deliver optimized real time communications (RTC) using a standard WebRTC API. Real time communications includes voice, video and data collaboration. An application framework 312 provides the WebRTC API on the application server 302, and provides execution of the WebRTC API functionality on the remote client 304. Various techniques are used to make this functionality feasible and transparent to the real-time media application 310, and achieve high quality user experience and other desirable features.

The application framework 312 includes a web browser or a desktop application to provide the real-time media application 310 that provides the real time communications. The real-time media application 310 is supported by a real-time media application server 320. The architecture 300 may be referred to as a computing system 300, the application server 302 may be referred to as a virtual desktop server 302, and the remote client 304 may be referred to as a client computing device 304 or as a virtual desktop client 304. The client computing device 304 is in peer-to-peer communications with at least one other client computing device 305.

WebRTC is a collection of APIs and an open source project enabling real-time communications (VoIP, video over IP, and other types of real-time collaboration) in browser and desktop applications. Since its introduction to the industry by Google in 2011, and adoption by several standards bodies (W3C and IETF), WebRTC has been included in most popular web browsers, as well as made available in desktop application platforms such as Electron. Application and service vendors as well as enterprise IT departments are increasingly making use of WebRTC for adding voice and video functionality to existing and new HTML5 applications.

Electron is an open source framework for building desktop applications (running outside of a browser) using technologies originally defined for the Web, including HTML5 and WebRTC. Electron is also seeing increased adoption in the industry by leading application vendors.

Under desktop virtualization, execution of WebRTC functionality on the virtual desktop server 302 has a number of well-known disadvantages. One disadvantage is the high latency and low media quality introduced by virtualization of audio and video devices, which involves several rounds of media compression/decompression and extra network hops. Another disadvantage is network and server scalability concerns caused by mandatory tunneling of peer-to-peer media through the data center or the cloud infrastructure, and running high CPU cost audio and video codecs on the virtual desktop server 302.

Execution of real-time functionality, including both the media processing pipelines and the networking code, by a client RTC API engine 308 on the client computing device 304 addresses these problems. It is still advantageous to run the rest of the real-time media application code on the virtual desktop server 302, using a native RTC engine 316 where it can integrate with other desktop applications and other desktop OS functionality. Redirection of WebRTC APIs provides a way for the real-time media application code to continue executing on the virtual desktop server 302, while offloading only real-time media processing and networking to the client computing device 304. Further, the real-time media application code can be largely unaware of the fact that WebRTC APIs are being redirected. This results in out of the box real-time media optimization for many if not all virtualized applications.

Redirection, or remoting, of parts of application functionality from the virtual desktop server 302 to the client computing device 304 is not new by itself, and has been implemented in a number of technologies (including such Citrix technologies as Remoting Audio and Video Extensions (RAVE), Flash Redirection, Browser Content Redirection, and Real-time Optimization Pack). However, what is new is using WebRTC redirection techniques to deliver real-time media optimization for HTML 5/JavaScript applications.

WebRTC redirection techniques include a number of unique features such as: new methods of API interception for browser and desktop applications; new techniques for providing fallback functionality; new techniques for video area identification and geometry tracking; new techniques for window monitoring/overlay detection; new techniques for selecting and capturing screen content for content sharing sessions; new types and applications of policies to control application access to endpoint media sources; and new techniques for managing network connectivity for real time media in virtualization application environments. These techniques are discussed in more detail below.

As a general overview, WebRTC comprises a set of API specifications maintained by the Web Real-Time Communications Working Group (part of W3C), as well as implementations of these APIs in web browsers and HTML5/JavaScript desktop application platforms such as Electron. The most relevant specifications for this architecture include WebRTC 1.0: Real-time Communication Between Browsers (further referenced as [webrtc]), Media Capture and Streams ([mediacapture-streams]), and Screen Capture ([screen-capture]). The following description references definitions and API elements from relevant W3C specifications without repeating them here.

The general idea of the illustrated architecture 300 in FIG. 3 is to redirect underlying functionality of WebRTC APIs from the virtual desktop server 302 to the client computing device 304 by intercepting calls to the API made by the real-time media application 310. The intercepted APIs are executed either remotely on the client computing device 304 via the client RTC API engine 308, or locally on the virtual desktop server 302 as appropriate via the native RTC engine 316. API callbacks are invoked or asynchronous API events are generated to the real-time media application 310.

Acronyms and definitions in this field include XenApp (XA), XenDesktop (XD), and Virtual Desktop Infrastructure (VDI). VDI is virtualization technology that hosts a desktop operating system on a centralized server in a data center, and provides remote access to virtual hosted applications and desktops. Citrix Receiver and Citrix Workspace App are virtual desktop clients providing remote access to virtual hosted applications and desktops.

The following major elements comprise the system architecture 300 for WebRTC redirection. A virtual desktop server 302 provides server-side virtual channel functionality and hosts virtual applications. For example, these may be implemented in Citrix XenApp/XenDesktop. A virtual desktop client 304 provides client-side virtual channel functionality. For example, this may be implemented in Citrix Receiver and Citrix Workspace App. A virtualized application (or virtual application) is a third party application implemented in HTML 5 and JavaScript and uses WebRTC to deliver real-time voice, video and data functionality. The virtualized application, such as the real-time media application 310, is hosted on the virtual desktop server 302.

A server-side API code redirection module 306 includes code libraries and applications running on the virtual desktop server 302, and interacts with the real-time media application 310 to achieve WebRTC API redirection. The API code redirection module 306 may be referred to as a WebRTC API connector 306. The API code redirection module 306 may be considered as a single system component, or may be split into two subcomponents: injected and non-injected code, for some of the techniques described below.

Injected server-side WebRTC connector code 314 (injected API code) includes portions of connector code that may be either implemented in JavaScript, or implemented in a different computer language but providing a JavaScript-compatible API. The injected API code 314 is injected into the real-time media application 310, and modifies the HTML5/JavaScript execution environment within the application process. If implemented in JavaScript, the injected code 314 would communicate with non-injected connector code libraries directly using WebSockets or another suitable inter-process communication mechanism, and indirectly through rendered screen contents as described below in the window tracking section.

Other server-side connector code includes code libraries implemented in any suitable programming language and running either within or outside of the application process. The API code redirection module 306 communicates with the injected code 314 through WebSockets or another suitable mechanism, and indirectly through screen capture, and with the client RTC API engine 308 through a virtual channel 318.

The client RTC API engine 308 includes code libraries running on the client computing device 304. The client RTC API engine 308 communicates with the API code redirection module 306 through a virtual channel 318 hosted by the virtual desktop server 302.

The illustrated architecture 300, and the general idea of optimizing application virtualization by offloading parts of the real-time media application RTC functionality from the virtual desktop server 302 to the client computing device 304, are fairly generic and widely used in systems implementing application or desktop virtualization. The distinction hereinlies in specific functions and interactions of the injected code 314, the API code redirection module 306, and the client RTC API engine 308 that are designed to optimize real time media APIs. In particular, WebRTC is optimized.

As noted above, the computing system 300 includes the virtual desktop server 302 and the client computing device 304 in peer-to-peer communications with another endpoint device 305. The virtual desktop server 302 includes the application framework 312 that includes the real-time media application 310 to provide real-time communications (RTC), and the native RTC engine 316 to execute a portion of the real-time media application 310 when received by the native RTC engine 316. The API code redirection module 306 redirects intercepted APIs of the real-time media application 310 intended for the native RTC engine 316 based on redirection code 314 injected into the real-time media application 310 so that the portion of the real-time media application 310 is redirected. The client RTC API engine 308 in the client computing device 304 communicates with the API code redirection module 306 through a virtual channel 318 to execute the redirected portion of the real-time media application 310.

The application framework 312 may be a web browser or a desktop application framework. The redirected APIs correspond to real-time media processing and/or peer-to-peer networking with another client computing device 305.

Various API interception techniques will now be discussed. WebRTC APIs are defined as Java Script APIs available to HTML 5/Java Script applications within a web browser or within an application development platform such as Electron. Electron combines an HTML 5/Java Script application engine with additional desktop-specific platform functionality. Interception of WebRTC APIs by a desktop virtualization platform requires additional novel techniques.

The following API interception techniques will be discussed below: hooking; use of a custom browser; JavaScript injection via proxy; JavaScript injection via a browser helper object (BHO) or browser extension, JavaScript injection via micro-VPN plugin; and use of an electron app decomposition.

For hooking, the API code redirection module 306 may include a hooking module configured to intercept the APIs of the real-time media application 310 based on hooking, and inject the redirection code 314 into the real-time media application 310 based on the intercepted APIs.

JavaScript rendered DLL APIs are hooked and custom JS is inserted. For IE, the JavaScript engine DLL is jscript.dll and is a (in process) COM object server. Hence, the idea would be to employ standard COM shimming techniques to operate as a “man in the middle” (MITM) in order to insert custom JavaScript. In the IE JavaScript engine, all JavaScript objects implement the IDispatchEx interface. Alternatively, one could hook OS socket APIs, e.g. WinSock APIs, parse HTTP traffic and HTML content and then insert JS.

For a custom browser, a custom Chromium-based browser engine may be used and a custom Secure Browser published, e.g., as part of the Citrix Secure Browser Cloud Service. Hooks or plugins are used within the Chromium engine to inject custom JS. Alternatively, a custom browser engine may implement some or all of the WebRTC redirection functionality in native code, limiting or removing the need to inject custom JavaScript code. The virtual desktop server 302 includes a browser that includes hooks or plug-ins configured to intercept the APIs of the real-time media application 310, and inject the redirection code 314 into the real-time media application 310 based on the intercepted APIs.

For JavaScript injection via proxy, a proxy is used to intercept HTML content. The proxy would add additional JS via content rewriting. The proxy could be a separate appliance on the network, or reside on the virtual desktop server 302. The proxy could be configured explicitly (using browser settings) or operate as a transparent proxy.

In one approach, the computing system 300 further includes a proxy server configured to intercept HTML content from a web server to be retrieved by the real-time media application 310, and re-write the intercepted HTML content so that execution of the re-written HTML content causes the APIs of the real-time media application 310 to be intercepted. The redirection code 314 is then injected into the real-time media application 310 based on the intercepted APIs.

In another approach, the proxy server may be configured to intercept HTML content from a web server to be retrieved by the real-time media application 310, and inject code into pages of the intercepted HTML content. Execution of the pages with the injected code causes the APIs of the real-time media application 310 to be intercepted. The redirection code 314 is then injected into the real-time media application 310 based on the intercepted APIs.

For JavaScript injection via Browser Helper Object (BHO) or browser extension, JavaScript code to implement WebRTC API redirection could be injected into a browser-based application using the BHO or the Browser Extension for web browsers that implement BHO or browser extension mechanisms. The virtual desktop server 302 thus includes a browser including a BHO or a Browser Extension to intercept the APIs of the real-time media application 310, and inject the redirection 314 code into the real-time media application 310 based on the intercepted APIs.

For JavaScript injection via micro-VPN plugin, a universal windows platform (UWP) App is used to implement a virtual private network (VPN) app plugin. The UWP VPN plugin app will handle the declaration of the VPN client plug-in capability in the AppX manifest and provide reference to the VPN plug-in app handler. Running the plugin within a sandbox (app container) allows for greater security and reduced complexity of the implementation.

The VPN app plugin is able to control VPN connections in conjunction with the OS VPN platform. In addition, the VPN app plugin could be configured as a micro-VPN, i.e., it can be applied on a per-application basis. For example, the configuration could be achieved via mobile device management (MDM) or mobile application management (MDM) policies.

Alternatively, a custom profile may be created using PowerShell scripts. The configuration could specify apps whose traffic is to be managed by the micro-VPN plugin. In particular, the micro-VPN plugin could be configured for browser applications and Electron based apps. The micro-VPN plugin could be enabled to intercept network traffic for all or specific apps, decrypt TLS using local certificate store, parse HTTP traffic and HTML content and then insert custom JavaScript.

In one approach, the computing system further includes a micro-virtual private network (VPN) plug-in configured to intercept HTML content from a web server to be retrieved by the real-time media application 310, and re-write the intercepted HTML content so that execution of the re-written HTML content causes the APIs of the real-time media application 310 to be intercepted. Then the redirection code 314 is to be injected into the real-time media application 310 based on the intercepted APIs.

In another approach, the micro-virtual private network (VPN) plug-in may be configured to intercept HTML content from a web server to be retrieved by the real-time media application 310, and inject code into pages of the intercepted HTML content. Execution of the pages with the injected code causes the APIs of the real-time media application 310 to be intercepted. The redirection code 314 is then injected into the real-time media application 310 based on the intercepted APIs.

For electron app decomposition, the electron app is first run through a tool that modifies the electron app. The modification is based on decomposing binaries of the electron application to access the APIs of the real-time media application 310, add hooks to inject the redirection code into the real-time media application 310 based on the intercepted APIs, repackage the electron application binaries, and resign the electron application. The modified electron application is then configured to intercept the APIs of the real-time media application 310 based on hooking, and inject the redirection code 314 into the real-time media application 310 based on the intercepted APIs. Stated another way, the electron app is detected during virtual app publishing.

Electron app binaries are then decomposed. App content is usually located within an .asar archive located within a subfolder corresponding to the electron application. It is possible to unpack this archive using asar.exe (available as a node.js package) to access the JavaScript code for the application. Then hooks are added where the hooks comprise DLLs or other modules are to be loaded at runtime and to inject custom JS. The import address table of the main executable is modified to load the hooks when a process runs. The application binaries are repackaged, and the electron application package is then resigned.

Another aspect of delivering optimized real time communications (RTC) using a standard WebRTC API is directed to a method for operating a computing system 300 comprising a virtual desktop server 302 and a client computing device 304 comprising a client RTC API engine 308. The virtual desktop server 302 includes an application framework 312 and an API code redirection module 306. The application framework 312 includes a real-time media application 310 and a native RTC engine 316.

The method includes providing real-time communications based on operation of the real-time media application 310, with a portion of the real-time media application 310 to be executed by the native RTC engine 316 when received by the native RTC engine 316. The method further includes redirecting by the API code redirection module 306 intercepted APIs of the real-time media application 310 intended for the native RTC engine 316 based on redirection code 314 injected into the real-time media application 310 so that the portion of the real-time media application 310 is redirected. The client RTC API engine 308 communicates with the API code redirection module 306 through a virtual channel 318 to execute the redirected portion of the real-time media application 310.

Yet another aspect is directed to a non-transitory computer readable medium for operating a virtual desktop server 302 within a computing system 300 as described above. The non-transitory computer readable medium has a plurality of computer executable instructions for causing the virtual desktop server 302 to provide real-time communications (RTC) based on operation of the real-time media application 310, with a portion of the real-time media application 310 to be executed by the native RTC engine 316 when received by the native RTC engine 316. The instructions further cause the virtual desktop server 302 to redirect by the API code redirection module 306 intercepted APIs of the real-time media application 310 intended for the native RTC engine 316 based on redirection code 314 injected into the real-time media application 310 so that the client RTC API engine 308 communicates with the API code redirection module 306 through a virtual channel 318 to execute the redirected portion of the real-time media application 310.

Still referring to FIG. 3, the illustrated computing system 300 will now be discussed in terms of WebRTC redirection with fallback. General fallback techniques will now be discussed where in some cases the necessary functionality will be missing so a graceful fallback functionality to use less optimized mechanisms is needed for handling real time media when full optimization is not available.

The virtual desktop server 302 and the at least one client computing device 304 are as discussed above. The application framework 312 includes the real-time media application 310 to provide real-time communications (RTC), and the native RTC engine 316 executes a portion of the real-time media application 310 when received by the native RTC engine 306. The virtual desktop server 302 further includes an API code redirection module 306 to redirect original APIs of the real-time media application 310 intended for the native RTC engine 316 based on redirection code 314 injected into the real-time media application 310 so that the portion of the real-time media application 310 is to be redirected.

In particular, the client computing device 304 includes the client RTC API engine 308 reporting to the API code redirection module 306 through a virtual channel 318 on capabilities of the client computing device 304 to execute the redirected portion of the real-time media application 310. The API code redirection module 306 switches to a fallback mode if the client computing device 304 has limited capabilities. In the fallback mode at least part of the original APIs are used so that the native RTC engine 316 executes at least part of the portion of the real-time media application 310.

Real time media functionality enabled by WebRTC redirection described here will result in optimized user experience and system scalability when all system components include the necessary functionality. In particular, when virtual desktop clients and servers include compatible software and hardware modules that have the necessary capabilities cooperate to deliver the functionality as designed.

If the client computing device 304 has full capabilities fallback is not needed. In this case, the API code redirection module 306 does not switch to the fallback mode so that the client RTC API engine 308 executes all of the redirected portion of the real-time media application 310.

However, in real world deployments, it is inevitable that in some cases the necessary functionality will be missing. A WebRTC remoting solution must provide graceful fallback functionality to use other, less optimized mechanisms for handling real time media when full optimization is not available. Ideally, this fallback functionality (as well as the optimization itself) should be transparent to the application, i.e., handled by the application framework 312 without requiring application changes, and provide a friendly user experience.

To provide fallback functionality, a virtual application solution needs to include some or all of session state tracking and capability detection and negotiation.

In session state tracking, application process lifetime may overlap with one or more user connections to a virtual access session, and the process of enabling optimized functionality or providing a fallback may happen multiple times as session state changes.

In capability detection and negotiation, client-server protocols used for providing optimized functionality need to support detection or negotiation of the virtual desktop server 302 and client computing device 304 capabilities, which enables the corresponding code to switch between optimized and fallback modes of operation.

When fallback is needed, then the following techniques are specific to providing fallback functionality for WebRTC redirection. These techniques include 1) fallback to the built-in native RTC engine 316; 2) per-modality fallback; 3) partial fallback; and 4) mapping of session connect/disconnect events to device availability events.

In fallback to the built-in native RTC engine 316, the client computing device 304 has no capabilities to execute the redirected portion of the real-time media application 310. In the fallback mode all of the original APIs are used so that the native RTC engine 316 executes all of the portion of the real-time media application 310 instead of the client RTC API engine 308.

When remote execution of WebRTC is not possible (e.g., when no client RTC API engine 308 is present), injected code can dynamically dispatch application API calls to the built-in native RTC engine 316 that is included as part of the application framework 312. Injected code 314 can use itself as a shim to monitor these calls and resulting built-in WebRTC objects are used to enable an eventual switch to remote (optimized) functionality as well as ongoing monitoring of application WebRTC usage and quality.

In the per-modality fallback, depending on client computing device 304 capabilities and policies, the application framework 312 may implement per-modality fallback functionality when a remaining part of the portion of the real-time media application 310 that is not executed by the native RTC engine 316 is redirected to the client RTC API engine 308 for execution.

For example, when a client computing device 304 can only handle the audio portion of a real-time media session, the application framework 312 may implement optimized functionality for audio and fallback functionality for video. To do this, injected code 314 can remote API calls for audio streams to the client computing device 304 and redirect API calls for video streams to the local built-in RTC engine 316, merging the results together. The at least part of the portion of the real-time media application 310 executed by the native RTC engine 316 corresponds to video, and the remaining part of the portion of the real-time media application 310 executed by the client RTC API engine 308 corresponds to audio.

Alternatively, the at least part of the portion of the real-time media application 310 executed by the native RTC engine 316 corresponds to audio, and the remaining part of the portion of the real-time media application 310 executed by the client RTC API engine 308 corresponds to video.

In the partial fallback, depending on the virtual desktop server 302 capabilities and policies, injected and server-side code can implement partial fallback. Partial fallback does not involve redirection to the client computing device 304. Instead, the capabilities of the virtual desktop server 302 are reduced.

In an optimized mode the WebRTC redirection framework may support audio, video, and data communications. In the partial fallback mode the framework may only provide audio and video if the server-side CPU utilization on a multi-user server does not exceed a certain value. If the certain value is exceeded, then video support is automatically turned off under high CPU load to avoid quality problems. Similar fallback restrictions can be implemented by monitoring media quality for fallback sessions, and disabling some functionality if quality stays or falls below a defined threshold.

In other words, if the client computing device 304 has limited capabilities and the API code redirection module 306 determines that the virtual desktop sever 302 also has limited capabilities, then the API code redirection module 306 does not switch to the fallback mode for at least a part of the portion of the real-time media application 310, and the at least part of the portion of the real-time media application 310 is not executed by neither the client RTC API engine 308 nor the native RTC engine 316.

For example, the at least part of the portion of the real-time media application 310 that is not executed by neither the client RTC API engine 308 nor the native RTC engine 316 may correspond to video, while the remaining part of the portion of the real-time media application 310 is executed by either the client RTC API engine 308 or the native RTC engine 316 in fallback mode and may correspond to at least one of audio and data communications.

As another example, the API code redirection module 306 may determine that the virtual desktop sever 302 also has limited capabilities based on at least one of client computing device 304 policies, virtual desktop sever 302 policies, virtual desktop sever 302 CPU load, and media quality.

In this case, if the client computing device 304 has limited capabilities and the API code redirection module 306 determines that the virtual desktop sever 302 also has limited capabilities, then the API code redirection module 306 does not switch to the fallback mode for at least a part of the portion of the real-time media application 310. The at least part of the portion of the real-time media application 310 is not executed by neither the client RTC API engine 308 nor the native RTC engine 316.

The at least part of the portion of the real-time media application 310 that is not executed by neither the client RTC API engine 308 nor the native RTC engine 316 corresponds to video, and the remaining part of the portion of the real-time media application 310 is executed by either the client RTC API engine 308 or the native RTC engine 316 in fallback mode and corresponds to at least one of audio and data communications.

The API code redirection module 306 determines that the virtual desktop sever 302 also has limited capabilities based on at least one of client computing device policies, virtual desktop sever policies, virtual desktop sever CPU load, and media quality.

In the mapping of session connect/disconnect events to device availability events, WebRTC includes a subset of APIs (NavigatorUserMedia, getUserMedia) enabling applications to enumerate local media devices, request access to a local media device (such as a microphone or a camera), and use it for a real-time media session. Under WebRTC redirection, the corresponding APIs will respectively enumerate, obtain access to, and request usage of, devices physically attached to the client computer.

To handle fallback scenarios, upon session disconnection, injected code will update internal data structures and generate events indicating to the application that all devices have been physically disconnected. Upon session reconnection and after successful capability negotiation, this code will indicate to the real-time media application 310 that new devices are now available.

Upon fallback, injected code will defer to the built-in WebRTC engine 316 to enumerate local devices, which may in turn invoke other virtual channel functionality to enumerate client devices and perform non-optimized redirection. For example, this may be via generic audio redirection or graphics remoting virtual channels. With this approach, the application designed properly to handle local media device availability will not require any special logic to process session connect/disconnect and fallback events.

In one aspect, the virtual desktop server 302 enumerates devices physically connected to the client computing device 304 when the client computing device 304 is connected to the virtual desktop server 302. When the client computing device 304 is disconnected from the virtual desktop server 302, then the injected code 314 generates events indicating to the real-time media application 310 that all devices have been physically disconnected.

Upon reconnection of the client computing device 304 to the virtual desktop server 302, the injected code 314 indicates to the real-time media application 310 that new devices are now available. Upon fallback, the injected code 314 defers to the native RTC engine 316 to enumerate the devices physically connected to the client computing device 304.

Another aspect of providing fallback functionality to use less optimized mechanisms for handling real time media when full optimization is not available is directed to a method for operating a computing system 300 comprising a virtual desktop server 302 and a client computing device 304 that includes a client RTC API engine 308. The virtual desktop server 302 includes an application framework 312 and an API code redirection module 306. The application framework 312 includes a real-time media application 310 and a native RTC engine 316.

The method includes providing real-time communications (RTC) based on operation of the real-time media application 310, with a portion of the real-time media application to be executed by the native RTC engine when received by the native RTC engine, and redirecting by the API code redirection module 306 original APIs of the real-time media application 310 intended for the native RTC engine 316 based on redirection code 314 injected into the real-time media application 310 so that the portion of the real-time media application 310 is to be redirected.

The method further includes reporting by the client RTC API engine 308 to the API code redirection module 306 through a virtual channel 318 on capabilities of the client computing device 304 to execute the redirected portion of the real-time media application 310. The API code redirection module 306 is operated to switch to a fallback mode if the client computing device 304 has limited capabilities, where in the fallback mode at least part of the original APIs are used so that the native RTC engine 316 executes at least part of the portion of the real-time media application 310.

Yet another aspect is directed to a non-transitory computer readable medium for operating a virtual desktop server 302 within a computing system 300 as described above. The non-transitory computer readable medium has a plurality of computer executable instructions for causing the virtual desktop server 302 to provide real-time communications (RTC) based on operation of the real-time media application 310, with a portion of the real-time media application 310 to be executed by the native RTC engine 316 when received by the native RTC engine 316. The instructions further cause the virtual desktop server 302 to redirect by the API code redirection module 306 intercepted APIs of the real-time media application 310 intended for the native RTC engine 316 based on redirection code 314 so that the portion of the real-time media application 310 is to be redirected. The API code redirection module 306 receives from the client RTC API engine 308 through a virtual channel 318 capabilities of the client computing device to execute the redirected portion of the real-time media application 310. The API code redirection module 306 is operated to switch to a fallback mode if the client computing device 304 has limited capabilities, where in the fallback mode at least part of the original APIs are used so that the native RTC engine 316 executes at least part of the portion of the real-time media application 310.

Still referring to FIG. 3, the illustrated computing system 300 will be now discussed in terms of WebRTC redirection with window monitoring/overlay detection. As will be discussed in detail below, geometry tracking is used to seamlessly provide redirection of WebRTC functionality. Applications using WebRTC typically render received video streams by connecting a MediaStream object to an HTML5 video element. Visibility and geometry of this element is usually managed by the application directly or using CSS style information.

Applications often create and position other UI elements (e.g., labels or control buttons) so that they visually overlap with the video, and may use transparency to blend rendered video with application UI content. The UI elements may be referred to as non-accelerated graphics, and the video may be referred to as accelerated graphics. An application, such as the real-time media application 310, may have more than one active video element rendering real-time video at the same time (e.g., one or more remote video feeds from video conference participants and a self-view from a local camera 330).

To achieve seamless redirection of WebRTC functionality, the application virtualization framework on the virtual desktop server 302 needs to identify and keep track of visibility and geometry of several video elements, as well as any other elements that overlay live video. When this information is available, WebRTC redirection code on the client computing device 304 will use it to create, position and clip local video rendering windows, and possibly render opaque or transparent overlays on top of these windows to represent corresponding application UI elements.

Geometry tracking for HTML5 video elements may be via color or pattern detection. Positioning and rendering of video and other UI elements in WebRTC applications is handled by the HTML rendering engine embedded in the browser or application framework, and is typically not readily available through an API or other means of introspection outside of the HTML renderer.

One possible way to overcome this limitation and identify multiple HTML5 video areas and track their geometry includes the following steps. One step is to use injected code 314 to assign each video element a unique ID at the point when the real-time media application 310 makes an API call to connect a redirected Media Stream with a particular video element. Also, the injected code 314 causes each video area to be painted with a color or a pattern derived from the video element ID. For example, this may include encoding bits of the element ID in bits of video area color for uniform painting, or in colors of adjacent pixels for pattern painting.

Another possibility is to paint the video area using a 1-D or 2-D bar code encoding the video element ID. In the graphics capture and remoting code (part of the application virtualization code), video overlay areas are detected by color, pattern, or bar code using any of the available techniques for pixel color or area pattern matching or bar code scanning.

Detected areas may be non-rectangular or may be partially clipped. To achieve correct geometry tracking, it will be necessary to combine the information retrieved from injected code (video element ID and size in pixels) with results of colored or patterned area detection to determine the size and clipping geometry of each individual video element. To improve performance, results of video area detection can be cached and only partially recalculated for subsequent frames.

The illustrated computing system 300 includes at least one video source 330 to provide at least one video stream, the virtual desktop server 302 and the at least one client computing device 304 as discussed above. The virtual desktop server 302 includes the application framework 312 that includes the real-time media application 310 to provide real-time communications (RTC), and the native RTC engine 316 to execute a portion of the real-time media application 310 when received by the native RTC engine 316.

The API code redirection module 306 redirects intercepted APIs of the real-time media application 310 intended for the native RTC engine 316 based on redirection code 314 injected into the real-time media application 310 so that the portion of the real-time media application 310 is redirected. In particular, the injected redirection code 314 defines at least one placeholder to indicate positioning geometry of the at least one video stream within an RTC window. A geometry tracking module 332 detects the at least one placeholder within the injected redirection code 314, and provides the positioning geometry associated therewith.

The client computing device 304 includes a display 334 to display the RTC window. The client RTC API engine 308 communicates with the API code redirection module 306 through the virtual channel 318 to execute the redirected portion of the real-time media application 310. This virtual channel 318 provides accelerated graphics.

In particular, the client computing device 304 further includes a display composition module 336 to receive the at least one video stream and the positioning geometry of the at least one placeholder, and to overlay the at least one video stream over the at least one placeholder within the displayed RTC window based on the positioning geometry.

The positioning data from the geometry tracking module 332 may be provided to the display composition module 336 over two different paths. In a first path, the geometry tracking module 332 provides the positioning geometry to the API code redirection module 306 so as to be included in the redirected portion of the real-time media application 310 to the client RTC API engine 308. The client RTC API engine 308 then provides the positioning data to the display composition module 336. In a second path, the geometry tracking module 332 provides the positioning geometry directly to the display composition module 336 over a different virtual channel 319. This virtual channel 319 is for non-accelerated graphics.

The RTC window as provided by the display 334 is a composited display that includes non-accelerated graphics and accelerated graphics. Non-accelerated graphics include UI elements, labels and control buttons, for example. Accelerated graphics in the illustrated embodiment is defined by the video stream provided by the local webcam feed 330. The display composition module 336 may receive additional video streams, such as from another end point device, such as client computing device 305.

The injected redirection code 314 generates the non-accelerated graphics but does not generate the accelerated graphics. This means that the geometry tracking module 332 analyzes the non-accelerated graphics for the at least one placeholder. The virtual desktop server 302 also includes a non-accelerated graphics producer 340 that provides non-accelerated graphics over the virtual channel 319 to a non-accelerated graphics module 342 in the client computing device 304.

Referring now to FIGS. 4-7, an example window monitoring/overlay detection scenario will be discussed. In this scenario, there are two video stream sources. One video stream source is from the local webcam feed 330 on the first client computing device 304, and the other video stream source is from a second client computing device 305 in peer-to-peer communications with the first client computing device 304.

When the APIs are intercepted, the two video stream sources are enumerated by the virtual desktop server 302. When a call is started, the client computing device 304 reports to the real-time media application 310 that there is a first video stream from the local webcam feed 330. Similarly, the second client computing device 305 reports to the real-time media application 310 via the real-time media application server 320 that it has a camera providing the second video stream.

The real-time media application 310 gets notification that the two video streams have arrived, as reflected by events detected within the intercepted APIs. Since the real-time media application 310 does not receive the actual video streams, it creates a placeholder for each event. Each placeholder is drawn where the corresponding video stream is to be placed when displayed on the client computing device 304.

Referring now to FIGS. 4-7, various displays illustrating an example window monitoring/overlay detection scenario with the architecture illustrated in FIG. 3 will be discussed. As shown in window 400, the injected redirection code 314 in the virtual desktop server 302 renders a green rectangle 402 on where the peer video from the second client computing device 305 is to be placed and a red rectangle 404 on where the picture-in-picture preview video from the local webcam feed 330 is to be placed.

The injected redirection code 314 draws with different colors, with each color assigned to a respective video stream. An ID may also be associated with each color to identify the respective video streams. The controls 406 overlaid on the window 400 are rendered normally.

Since the window 400 is part of a WebRTC application framework, the real-time media application 310 needs to know where the video streams are to be rendered. The geometry tracking module 332 advantageously detects the different placeholders within the injected redirection code 314, and provides the positioning geometry associated with each placeholder to the display composition module 336. The positioning geometry provides x-y coordinates on where the video streams are to be placed, along with resolution.

The geometry tracking module 332 detects the different placeholders based on color, such as green and red, for example. In other embodiments, the different placeholders may be detected with patterns or bar codes. In addition, the different colors, patterns and bar codes may each have an ID associated therewith that corresponds to a respective video stream. In addition, the placeholder colors may change after being detected by the geometry tracking module to a more neutral color that blends in with the windows that are presented on the client computing device 304.

The window 400 is sent to the client computing device 304. The display composition module 336 within the client computing device 304 renders the video stream 412 from the second client computing device 305 based on the specified position geometry associated therewith, as shown in window 410 in FIG. 5. The rendered video stream 412 includes a cutout 414 for the controls 406 and a cutout 416 for the video stream from the local webcam feed 330.

The display composition module 336 within the client computing device 304 also renders the video stream 422 from the local webcam feed 330 based on the specified position geometry associated therewith, as shown in window 420 in FIG. 6. The rendered video stream 422 does not need any cutouts as with rendered video stream 412.

After compositing by the display composition module 336, the video streams appear in the correct location with the correct shape. The window 410 in FIG. 7 includes the video stream 412 from the second client computing device 305 positioned over the green placeholder 402, the video stream 422 from the local webcam feed 330 positioned over the red placeholder 404, and the controls 406 as provided by the virtual desktop server 302.

The virtual desktop along with the hosted real-time media application's non-accelerated content 406 (controls), and other hosted application windows, are drawn on the display 334 of the client computing device 304 using graphics sent by the virtual desktop server 302. The screen areas behind the accelerated content, such as the green rectangle 402 and the red rectangles 404 in this example, are also rendered on the display 334 of the client computing device 304 but they are not visible to the user because they are overlaid by the accelerated locally rendered content of the peer video 412 from the second client computing device 305 and the picture-in-picture preview video 422 from the local webcam feed 330, respectively.

Referring now to windows 410 and 420 in FIG. 8, the underlying server-side window 400 has been moved to a different position. The injected redirection code 314 in the virtual desktop server 302 renders the placeholders in a new location. In particular, the green rectangle 402 is rendered where the peer video from the second client computing device 305 is to be placed, and the red rectangle 404 is rendered where the picture-in-picture preview video from the local webcam feed 330 is to be placed. The non-accelerated graphics, for example controls 406, are rendered normally in a new location by the non-accelerated graphics producer 340.

As a result of the video, the geometry and the non-accelerated graphics being updated asynchronously, whichever is received first is updated before the other. As a result, the video overlays 412, 422 may seem disconnected from the underling placeholders. This may be viewed as a temporary artifact.

In this example, positioning and the non-accelerated graphics of the server-side window 400 are updated first. The client computing device 304 then receives the updated positioning geometry of the placeholders from the virtual desktop server 302, and then renders the respective video streams 412, 422 with the updated positioning geometry. After compositing, the windows 410 and 420 are in the new location as illustrated in FIG. 9.

Referring now to window 410 in FIG. 10, an overlapping application 430 is rendered by the virtual desktop server 302 over window 400 which in turn clips video stream 412 on the client computing device 304. Though the position of the video stream 412 will not change, the shape of the video stream 412 will. Consequently, the geometry tracking module 332 in the virtual desktop server 302 provides positioning geometry updates to the display composition module 336 in the client computing device 304.

Since the video streams 412 and 422, the geometry and the non-accelerated graphics 406 are updated asynchronously, the geometry may be altered to accommodate the overlay window 430 early or late. In this example, the video streams 412 and 422, and the non-accelerated graphics 406 are updated first, and the bottom part of the application is not visible until the geometry update is processed by the client computing device 304.

The client computing device 304 receives the updated positioning geometry of the placeholders from the virtual desktop server 302, and then renders the respective video streams 412, 422 with the updated positioning geometry while window 430 appears unobstructed. After compositing, the video stream 412 appears in the same location but with the correct shape, revealing the non-accelerated graphics of the overlay window 430, as illustrated in FIG. 11.

Another aspect of WebRTC redirection with window monitoring/overlay detection is directed to a method for operating a computing system 300 comprising at least one video source 330, a virtual desktop server 302 and a client computing device 304 comprising a client RTC API engine 308, a display 334 and a display composition module 336. The virtual desktop server 302 comprises a geometry tracking module 332, an application framework 312 and an API code redirection module 306. The application framework 312 includes a real-time media application 310 and a native RTC engine 316.

The method includes providing at least one video stream 412 from the at least one video source 330, and providing real-time communications (RTC) based on operation of the real-time media application 310, with a portion of the real-time media application 310 to be executed by the native RTC engine 316 when received by the native RTC engine 316.

The method further includes redirecting by the API code redirection module 306 intercepted APIs of the real-time media application 310 intended for the native RTC engine based on redirection code 314 injected into the real-time media application 310 so that the portion of the real-time media application 310 is redirected. The injected redirection code 314 defines at least one placeholder 402 to indicate positioning geometry of the at least one video stream 412 within an RTC window 410.

The geometry tracking module 332 is operated to detect the at least one placeholder 402 within the injected redirection code 314, and to provide the positioning geometry associated therewith. The RTC window is displayed on the display 334. The client RTC API engine 308 is operated to communicate with the API code redirection module 306 through a virtual channel 318 to execute the redirected portion of the real-time media application 310.

The display composition module 336 is operated to receive the at least one video stream 412 and the positioning geometry of the at least one placeholder 402, and to overlay the at least one video stream 412 over the at least one placeholder 402 within the displayed RTC window 410 based on the positioning geometry.

Yet another aspect is directed to a non-transitory computer readable medium for operating a virtual desktop server 302 within a computing system 300 as described above. The non-transitory computer readable medium has a plurality of computer executable instructions for causing the virtual desktop server 302 to provide real-time communications (RTC) based on operation of the real-time media application 310, with a portion of the real-time media application 310 to be executed by the native RTC engine 316 when received by the native RTC engine 316.

The steps further include redirecting by the API code redirection module 306 intercepted APIs of the real-time media application 310 intended for the native RTC engine 316 based on redirection code 314 injected into the real-time media application 310 so that the client RTC API engine 308 communicates with the API code redirection module 306 through a virtual channel 318 and executes the redirected portion of the real-time media application 310. The injected redirection code 314 defines at least one placeholder 402 to indicate positioning geometry of the at least one video stream 412 within an RTC window 410.

The geometry tracking module 332 is operated to detect the at least one placeholder 402 within the injected redirection code 314, and to provide the positioning geometry associated therewith so that the client computing device 304 operates the client RTC API engine 308 to communicate with the API code redirection module 306 through a virtual channel 318 to execute the redirected portion of the real-time media application 310. The display composition module 336 is operated to receive the at least one video stream 412 and the positioning geometry of the at least one placeholder 402, and to overlay the at least one video stream 412 over the at least one placeholder 402 within the displayed RTC window 410 based on the positioning geometry.

Geometry tracking includes detection and repainting of semi-transparent overlays. The technique described above can work for applications that use arbitrary opaque UI overlays on top of video elements. To address semi-transparent overlays, the same approach can be extended as follows.

Painting of video areas by injected code can be designed in a way that would allow robust pattern detection even after color transformation due to semi-transparent overlays. For example, element ID can be encoded using pixels with highly distinct colors, while detection code could be designed to accept much smaller or shifted differences in pixel colors (due to color blending). Predefined image patterns and information redundancy techniques such as various checksums used in bar codes can be used to improve detectability of video areas.

Further, painting of video areas can be designed to vary over time, using two or more different colors for each pixel.

Detection code can be extended to derive information about semi-transparent overlay from captured screen pixels. To do this, detection code would compare expected pixel colors with actual captured pixels. For the simplest implementation with two alternating colors, and assuming a linear blending model at two instances in time: (pixel color at time 1)=(1−alpha)*(underlay color at time 1)+alpha*(overlay color)  1) (pixel color at time 2)=(1−alpha)*(underlay color at time 2)+alpha*(overlay color)  2)

Both alpha and overlay color can be recovered with acceptable loss of precision: alpha=1−(pixel color at time 2−pixel color at time 1)/(underlay color at time 2−underlay color at time 1) overlay color=(pixel color−(1−alpha)*underlay color)/alpha

FIG. 13 is an illustrative table diagram 500 for the method of detecting semi-transparent overlays described above. The input column 510 specifies different combinations of overlay colors described in terms of red (R), green (G) and blue (B) pixel color values and opacity, or alpha value. The blended column 520 specifies two different colors, a black blend 522 and a white blend 524 in this example, that can be used by the injected code at two different times, e.g., time 1 and time 2, as discussed above.

The captured/recovered column 530 specifies the respective computed, values for the alpha and pixel colors, which are recovered by the graphics capture and remoting code. For example, when alpha value is zero (0), the overlay is completely invisible. In this particular case the overlay colors cannot be detected due to divide-by-zero error, as illustrated by zeroes in the detected color pixels. However, this is not even necessary because with opacity of zero (0), the overlay is not visible anyway. In another example, and at the other extreme case of alpha value of one (1), the overlay completely obscures the blending colors.

FIG. 14 is a sample color bars image 540 used in a test run of the method of detecting semi-transparent overlays described above.

FIG. 15 is an illustrative image comparison diagram for a test run of the method of detecting semi-transparent overlays described above. In particular, FIG. 15 provides a visual illustration of a test run of the method described above on the sample image of FIG. 14 containing color bars with different colors and opacities.

The image on the top left 550 is the original (before) image, while the image on the top right 552 is the computed or detected (after) image. There is no perceptible difference between the two images. However, at extreme values of opacity, for example, when the alpha value is close to zero (0) or close to one (1), due to pixel color value rounding inaccuracies, the before and after images may start to differ slightly. This is illustrated in the bottom image 554, which renders a grayscale version of the detected color bar image. For strictly illustrative purposes the following is provided.

Pixels that have the same color values in both of the original (before) image and the detected (after) image are rendered in a grayscale representation of that shared color value.

Pixels that have differing color values in the original (before) image and the detected (after) image, where the difference is below a preset threshold, are rendered in a blue-scale representation of the detected color value.

Pixels that have differing color values in the original (before) image and the detected (after) image, where the difference is above a preset threshold, are rendered in a red-scale representation of the detected color value.

In this example, the threshold has been defined as 5 unit's difference out of 255 unit's total, or approximately 2 percent difference.

FIG. 16 is an illustrative image 560 of a step in the method of detecting semi-transparent overlays described above. In particular, FIG. 16 illustrates the image 560 observed by the detection code at time one (1) after applying a black blend in combination with the color bars image of FIG. 14.

FIG. 17 is another illustrative image 570 of another step in the method of detecting semi-transparent overlays described above. In particular, FIG. 17 illustrates the image 570 observed by the detection code at time two (2) after applying a white blend in combination with the color bars image of FIG. 14. More alternating colors may be used to improve accuracy and address corner cases.

As will be discussed in further detail below in reference to FIG. 18, accuracy of this process can be improved by providing a feedback channel from the detection code to the injected code. Using this feedback channel, detection code would be able to request video area painting using specific, or adaptive, colors or patterns, to improve robustness and accuracy of detection process.

Spatial filtering techniques can be used to improve this process as well. For example, it is likely that the same alpha value will be used for large adjacent areas of semi-transparent overlays. Taking this into account, a filter can be used to average recovered per-pixel alpha values and accept the more accurate filtered value for further calculations.

Information about semi-transparent overlays, including alpha and pixel color values, can be transmitted from the server 302′ to the client 304′ and rendered on top of client-local video, resulting in an accurate reproduction of application UI.

In the instrumentation of the server-side HTML rendering engine, the two techniques above make it possible to detect video area geometry without instrumenting the HTML rendering engine. Direct instrumentation of the rendering engine provides another way of achieving the same purpose. For this technique, the HTML rendering engine in the browser or application framework 312′ can be hooked or partially replaced so that information about video element positioning and overlays can be retrieved directly.

As yet another approach, a customized Chromium-based browser engine can be used to instrument the HTML rendering. For example, as part of the Citrix Secure Browser Cloud Service.

As discussed above, the architecture 300 illustrated in FIG. 3 supports detection and repainting of semi-transparent overlays 406 as directed to webRTC API redirection. In other embodiments, the architecture 300 may be modified to support any accelerated graphics media that includes a semi-transparent overlay 406. Such an architecture 300′ is provided in FIG. 18.

In the illustrated architecture 300′, the application framework 312′ now includes a media application 311′ instead of the real-time media application 310, an accelerated content redirection module 315′ instead of the injected redirection code module 314 and the native RTC engine 316, and a host-side virtual channel redirection module 307′ instead of the RTC API code redirection module 306. On the client computing device 304′ the RTC API engine 308 is replaced with a client-side virtual channel redirection module 309′ that communicates with the host-side virtual channel redirection module 307′.

The accelerated content redirection module 315′ redirects the portion of the media streaming based on at least one of the following: DirectShow filter, DirectX Media Object (DMO) filter, Media Foundation filter, HTML5 video redirection module, Flash video redirection module, Browser Helper Object (BHO), and browser extension. DirectShow filter, DirectX Media Object (DMO) filter, and Media Foundation filter are used by Citrix RAVE (Remoting Audio and Video Extensions) technology. HTML5 video redirection module is used by Citrix HTML5 video redirection technology. Flash video redirection module is used by Citrix Flash video redirection technology.

For the media application 311′ to play a file, various factors are taken into account, such as source of the file, file format, and media format inside the file. Based on these factors, one or more filters may be registered. The filters include source filters, transform filters, and rendering filters that allow the decompression and rendering of the file to be redirected to the client computing device 304′.

The host-side filters proxy the still compressed video and audio data from the virtual desktop server 302′ to the client computing device 304′. At the client computing device 304′, one or more client-side native filters are loaded to decompress the video and audio data, render the video and play the audio. Control information which includes window positioning information and additional stream control information is also provided by the one or more host-side filters.

Still referring to FIG. 18 and architecture 300′, the accelerated content redirection module 315′ generates the non-accelerated graphics but does not generate the accelerated graphics. This means that the geometry tracking module 332′ analyzes the non-accelerated graphics for the at least one placeholder. The virtual desktop server 302′ also includes a non-accelerated graphics producer 340′ that provides non-accelerated graphics over the virtual channel 319′ to a non-accelerated graphics module 342′ in the client computing device 304′.

The architecture 300′ includes at least one video source 305′ to provide at least one video stream 313′. The video source 305′ may be referred to as an accelerated content media source. The virtual desktop server 302′ includes the application framework 312′ that includes the media application 311 to provide media streaming. The media stream includes the at least one video stream 313′ with at least one overlay 406 to be positioned on the at least one video stream 313′. The accelerated content redirection module 315′ is to redirect a portion of the media streaming by providing a placeholder 402 to indicate positioning geometry of the at least one video stream 313′ within a media window 334′. The placeholder 402 is to include the overlay 406.

Providing the placeholder 402 includes providing a first color 522 for an underlay of the placeholder 402 at a first time, and providing a second color 524 for the underlay of the placeholder 402 at a second time.

The geometry tracking module 332′ is to detect the placeholder 402 and determine positioning geometry associated therewith, and determine a color and an alpha blending factor of the overlay 406 based on calculations involving the first color 522 for the underlay of the placeholder 402 at the first time, and the second color 524 for the underlay of the placeholder 402 at the second time. The calculations are as described above using equations one (1) and two (2).

The determined color and the alpha blending factor of the overlay 406 are illustratively provided in the captured/recovered column 530 in FIG. 13. Comp. A is the alpha blending factor. Each of the red (R), green (G) and blue (B) pixel color values are represented by Comp. R, Comp. G, and Comp. B.

The client computing device 304′ includes a display to display the media window 334′. The virtual channel redirection module 309′ on the client side communicates with the accelerated content redirection module 315′ through a virtual channel 318′ to execute the redirected portion of the media application.

The display composition module 336′ is to receive the video stream 313′, the positioning geometry of the placeholder 402, and the color and the alpha blending factor for each pixel of the overlay 406 so as to overlay the video stream 313′ over the placeholder 402 within the displayed window 334′ based on the positioning geometry, and to overlay the overlay 406 in the color and alpha blending factor associated therewith.

As discussed above in one example, the API code redirection module 306 in the virtual desktop server 302 rendered a green rectangle 402 (as a placeholder) on where the peer video from the second client computing device 305 is to be placed. Similarly, in the context of the architecture 300′ illustrated in FIG. 18, the host-side redirection module 307′ in the virtual desktop server 302′ may render a green rectangle 402 (as a placeholder) on where the peer video from the second client computing device 305′ is to be placed. Since the overlay 406 positioned over the green rectangle 402 had an opacity of zero (0), there was no need to determine an alpha blending factor and a color of the overlay.

For a semi-transparent overlay 406 two (2) or more blended colors will be generated instead of a single color. Each pixel color value in the placeholder 402 (which includes the overlay color) is determined by the geometry tracking module 332′.

For the architecture 300′ illustrated in FIG. 18, the accelerated content redirection module 315′ generates the placeholder 402 with an underlay color 522 at time one (1), and then generates the placeholder 402 with an underlay color 524 at time two (2). The accelerated content redirection module 315′ tells the geometry tracking module 332′ the underlay colors used at time one (1) and two (2). The geometry tracking module 332′ uses Equations (1) and (2) as discussed above to calculate the alpha blending factor and the color for each pixel of the overlay 406. Since there are two equations and two unknowns, the two unknowns (i.e., alpha blending factor and overlay color) may be determined.

In some cases, the black and white underlay colors may be too close to the colors of the overlay 406. To improve color contrast between the underlay colors and the overlay color, the geometry tracking module 332′ provides feedback to the accelerated content redirection module 315′ to vary the first and second underlay colors. For example, yellow and green may be used to provide a better color contrast instead of black and white.

The displayed media window 334′ includes a composited display of non-accelerated graphics and accelerated graphics, with the accelerated graphics defined by the video stream 313′. The redirected portion of the media streaming only generates the non-accelerated graphics, and the geometry tracking module 332′ analyzes the non-accelerated graphics for the placeholder 402 and the overlay 406.

The video source may be a camera 330 coupled to the client computing device 304 as illustrated in FIG. 3. Alternatively or in addition to, the video source may be a camera coupled to a different client computing device 305′ in peer-to-peer communications with the client computing device 304′.

The video source is an accelerated content media source. The accelerated content media source is at least one of the following: video streaming website, video Content Delivery Network (CDN), video file share, DVD.

The video source may include a shared display surface coupled to a different client computing device 305′ in peer-to-peer communications with the client computing device 304′. This covers screen sharing where a shared display surface may be overlaid with a semi-transparent overlay 406.

Another aspect of detection and repainting of semi-transparent overlays 406 is directed to a method for operating a computing system 300 comprising at least one video source 305′, and a virtual desktop server 302′, with the virtual desktop server 302′ comprising a geometry tracking module 332′, an application framework 312′ and an accelerated content redirection module 315′. The application framework 312′ includes a media application 311′. The method includes providing at least one video stream 313′ from the at least one video source 305′, and providing media streaming based on operation of the media application, with the media streaming including the at least one video stream 313′ and at least one overlay 406 on the at least one video stream 313′.

A portion of the media streaming is redirected by providing a placeholder 402 to indicate positioning geometry of the at least one video stream 313′ within a media window 334′, with the placeholder 402 to include the at least one overlay 406.

Providing the placeholder 402 includes providing a first color 522 for an underlay of the placeholder 402 at a first time, and providing a second color 524 for the underlay of the placeholder 402 at a second time.

The method further includes operating the geometry tracking module 332′ to detect the placeholder 402 and determine positioning geometry associated therewith, and determine a color and an alpha blending factor of the at least one overlay 406 based on calculations involving the first color 522 for the underlay of the placeholder 402 at the first time, and the second color 524 for the underlay of the placeholder 402 at the second time.

Yet another aspect is directed to a non-transitory computer readable medium for operating a virtual desktop server 302′ within a computing system 300′ comprising at least one video source 305′, with the virtual desktop server 302′ comprising a geometry tracking module 332′, an application framework 312′ and an accelerated content redirection module 315′. The application framework 312′ includes a media application 311′.

The non-transitory computer readable medium has a plurality of computer executable instructions for causing the virtual desktop server 302′ to provide media streaming based on operation of the media application 311′, with the media streaming including the at least one video stream 313′ and at least one overlay 406 on the at least one video stream 313′.

A portion of the media streaming is redirected by providing a placeholder 402 to indicate positioning geometry of the at least one video stream 313′ within a media window 334′, with the placeholder 402 to include the at least one overlay 406.

Providing the placeholder 402 includes providing a first color 522 for an underlay of the placeholder 402 at a first time, and providing a second color 524 for the underlay of the placeholder 402 at a second time.

The geometry tracking module 332′ is operated to detect the placeholder 402 and determine positioning geometry associated therewith, and determine a color and an alpha blending factor of the at least one overlay 406 based on calculations involving the first color 522 for the underlay of the placeholder 402 at the first time, and the second color 524 for the underlay of the placeholder 402 at the second time.

Referring now to FIGS. 3 and 12, the illustrated computing system 300 will be discussed in terms screen sharing functionality to achieve seamless redirection of WebRTC functionality. WebRTC includes APIs (getDisplayMedia) and other related API elements, defined in [screen-capture], that allow applications to share the visual contents of the local browser window, a single window of a different application, all windows of a specific application, a single monitor, or a collection of monitors including the whole desktop.

Screen sharing under desktop virtualization presents a particular challenge due to a complexity of how the complete user-visible desktop is composed from parts running on one or more virtual desktop servers as well as on the local desktop. Application or framework code running on any particular physical or virtual computer may be able to enumerate all sources of shareable screen content that the user may be interested in, or may not have access to pixels of a particular window or monitor. WebRTC redirection framework can be designed to deal with this complexity while providing optimized user experience for screen sharing.

Citrix patent application ID1167US, filed on Jan. 26, 2018 as U.S. patent application Ser. No. 15/880,938, “Virtual Computing System Providing Local Screen Sharing from Hosted Collaboration Applications and Related Methods” is incorporated by reference herein in its entirety. The methods discussed in ID1167US fully apply to WebRTC redirection. The present disclosure offers additional incremental enhancements discussed below: 1) distributed enumeration of sharable content sources, and 2) optimizations of content sharing media and network pipeline.

In the distributed enumeration of shareable content sources, elements of WebRTC redirection framework (connector, engine, and possibly virtual desktop server and client code) can be designed to enumerate possible sources of content sharing (applications and their windows, monitors and desktops) in parallel on virtual desktop servers 302 and client computing devices 304, 305. Information internal to the desktop virtualization system may be used to create correct descriptions of these sources (e.g., correctly associate windows with corresponding applications). Inter-component protocols may be used to consolidate this information into a single list, and present the resulting list to the user when the application calls getDisplayMedia( ).

In the optimizations of content sharing media and network pipelines, when a particular screen sharing source is selected by the user, WebRTC redirection code can select the optimal location for capturing the content of that source. For example, if the user chooses a virtual application window, contents of that window should be captured on the virtual desktop server 302 because the window may be obscured on the client computing device 304. Alternatively, if the whole client desktop is selected for sharing, pixels of the desktop should be captured on the client computing device 304, since the graphics have already been delivered to the client computing device anyway and to avoid additional load on the virtual desktop server 302.

A further optimization may combine the screen rendering pipeline in the virtual desktop client application with the WebRTC redirection capture pipeline for screen content sharing.

In addition to choosing the optimal location for capturing shareable screen content, WebRTC redirection code can select the optimal location and method for compressing this content using a suitable video codec, and a network endpoint for transmitting this content to a remote destination. For example, screen content captured on the virtual desktop server 302 may be suitably compressed on the virtual desktop server 302, streamed from there to the client computing device 304, and transmitted to the network from the client computing device 304.

Alternatively, the same screen content may be only mildly compressed on the virtual desktop server 302, and achieve final compression on the client computing device 304. Alternatively, the same screen content may be compressed and transmitted from the virtual desktop server 302, not involving the client computing device 304 at all. These choices present different server and network scalability and network connectivity tradeoffs, and may be chosen based on policies or other criteria.

As illustrated in FIG. 12, the computing system 300 advantageously provides for sharing of both local and virtual client surfaces 331, 335 on the first client computing device 304 with the second client computing device 305. The injected redirection code 314 is used to enumerate shared surfaces from the client computing device 304 (local client surface 331) and from the virtual desktop server 302 (virtual desktop session 355) and combine them together into a single list. The virtual desktop server 302 includes a monitor 353 to generate the virtual desktop session 355.

One or more elements of the virtual desktop session 355 are rendered at the first client computing device 304 as a virtual client surface 335 on a first monitor 333 illustratively including a virtual session user interface (UI) 337. However, the first client computing device 304 also generates its own local client graphics surface 331, here on a second monitor 329. The local graphics surface 331 may include applications (web browser, document processing applications, etc.) installed locally at the client computing device 304.

It should be noted that both the local and virtual client surfaces 331, 335 may be displayed on a same monitor in different embodiments, i.e., they need not be on multiple monitors in all embodiments. As noted above, with the real-time media application 310 there is currently no way for the user of the first client computing device 304 to share the local graphics surface 331.

Yet, once the real-time media application 310 is launched, the virtual desktop server 302 uses the injected redirection code 314 to enumerate shared surfaces from the client computing device 304 (local client surface 331) and from the virtual desktop server 302 (virtual client surface 335) and combine them together into a single list that is presented to the user of the first client computing device 304.

This is accomplished without the need for virtual web cams and virtual plug-and-play (PnP) monitors at the virtual desktop server 302 as is needed in the above referenced Citrix patent application ID1167US. In the Citrix patent application ID1167US, the client surfaces are being enumerated in the virtual desktop server environment. Here, the illustrated computing system 300 is doing the reverse. The computing system 300 enumerates the client surfaces (local and/or virtual) and projects them to the first client computing device 304 so they can be more efficiently sent peer-to-peer to the second client computing device 305.

The second client computing device 305 generates a virtual client shared surface 365 on a first monitor 363. The second client computing device 305 also generates its own local client graphics shared surface 361, here on a second monitor 359.

A single list of enumerated surfaces is provided by the real-time media application 310. The user of the first client computing device 304 may click on a button or prompt to share surfaces (e.g., windows, monitors or desktops) and this triggers enumeration of those surfaces. Since the getDisplayMedia API element is intercepted, the enumerated local and virtual client surfaces 331, 335 can be combined.

More particularly, the illustrated computing system 300 includes the first client computing device 304 to display a local client surface 331 and a virtual client surface 335, with the local client surface 331 and the virtual client surface 335 to be shared with a second client computing device 305 having peer-to-peer communications with the first client computing device 304.

The virtual desktop server 302 communicates with the first client computing device 304 through a virtual channel 318 to provide the virtual client surface 335, and includes an application framework 312 that includes a real-time media application 310 to provide real-time communications (RTC), and a native RTC engine 316 to execute a portion of the real-time media application 310 when received by the native RTC engine 316.

An API code redirection module 306 within the virtual desktop server 302 redirects intercepted APIs of the real-time media application 310 intended for the native RTC engine 316 based on redirection code 314 injected into the real-time media application 310 so that the portion of the real-time media application 310 is redirected, with the injected redirection code 314 enumerating the local and virtual client surfaces 331, 335.

The first client computing device 304 includes a client RTC API engine 308 communicating with the API code redirection module 306 through the virtual channel 318 to execute the redirected portion of the real-time media application 310, and to share the local and virtual client surfaces 331, 335 with the second client computing device 305 based on the intercepted APIs enumerating the local and virtual client surfaces 331, 335.

As noted above, there may be an optimal location for capturing source content. For example, the virtual client surface 335 may include overlapping windows. If one of the overlapping windows is selected to be shared with the second client computing device 305, then pixels of the selected window are obtained from the virtual desktop server 302. As another example, a whole virtual desktop session 355 of the virtual desktop server 302 is to be shared. In this case pixels of the virtual desktop session 355 are captured on the first client computing device 304 to be delivered to the second client computing device 305.

As also noted above, a screen rendering pipeline and an RTC redirection capture pipeline may be combined. For example, the virtual desktop session 355 may include at least one window that is to be shared with the second client computing device 305. Then pixels of the shared window are to be provided by the virtual desktop server 302 to the second client computing device 305.

In terms of compression, the optimal location for compressing shareable screen content can be selected. For example, the virtual desktop server 302 may compress the pixels of the at least one window. If the window is to be shared with the second client computing device 305, then the compressed pixels of the shared window are sent to the first client computing device 304 for sharing with the second client computing device 305.

Another aspect of WebRTC redirection with screen sharing is directed to a method for operating a computing system 300 comprising a virtual desktop server 302 and a first client computing device 304 comprising a client RTC API engine 308, as discussed above. The method includes operating the first client computing device 304 to display a local client surface 331 and a virtual client surface 335, with the local client surface 331 and the virtual client surface 335 to be shared with a second client computing device 305 having peer-to-peer communications with the first client computing device 304.

The virtual desktop server 302 is operated to communicate with the first client computing device 304 through a virtual channel 318 to provide the virtual client surface 335. Real-time communications (RTC) is provided based on operation of the real-time media application 310, with a portion of the real-time media application 310 to be executed by the native RTC engine 316 when received by the native RTC engine 316.

The API code redirection module 306 redirects intercepted APIs of the real-time media application 310 intended for the native RTC engine 316 based on redirection code 314 injected into the real-time media application 310 so that the portion of the real-time media application 310 is redirected, with the injected redirection code 314 enumerating the local and virtual client surfaces 331, 335.

The client RTC API engine 308 is operated to communicate with the API code redirection module 306 through the virtual channel 318 to execute the redirected portion of the real-time media application 310. The client RTC API engine 308 is further operated to share the local and virtual client surfaces 331, 335 with the second client computing device 305 based on the intercepted APIs enumerating the local and virtual client surfaces 331, 335.

Yet another aspect is directed to a non-transitory computer readable medium for operating a virtual desktop server 302 within a computing system 300 as described above. The non-transitory computer readable medium has a plurality of computer executable instructions for causing the virtual desktop server 302 to communicate with the first client computing device 304 through a virtual channel 318 to provide the virtual client surface 335, and provide real-time communications (RTC) based on operation of the real-time media application 310. A portion of the real-time media application 310 is to be executed by the native RTC engine 316 when received by the native RTC engine 316.

The API code redirection module 306 intercepts APIs of the real-time media application 310 intended for the native RTC engine 316 based on redirection code 314 injected into the real-time media application 310 so that the client RTC API engine 308 communicates with the API code redirection module 306 through a virtual channel 318 to execute t

he redirected portion of the real-time media application 310. The injected redirection code 314 enumerates the local and virtual client surfaces 331, 335 so that the first client computing device 304 shares the local and virtual client surfaces 331, 335 with the second client computing device 305 based on the intercepted APIs enumerating the local and virtual client surfaces 331, 335.

In thin client resource management, WebRTC may be active in more than one browser tab, such as for video rendering, for example. A browser may decide to suspend video playback in an inactive tab. Presumably, this will be reflected onto the MediaStream object connected to the HTML5 video element in the inactive tab of the hosted app. The real-time media application 310 may be active in a plurality of browser tabs, and the client computing device 304 suspends video playback in an inactive browser tab and/or stops rendering in a non-visible area.

In addition, independent of the actions of the inactive browser tab of the hosted app, a receiver may decide to automatically stop the WebRTC rendering in a non-visible area. This may be done conditionally, e.g., on a thin client device, which may be resource challenged, or in conditions of limited bandwidth, which may improve UX in other active tabs and WebRTC channels.

Security policies will now be discussed. Real time media support in browser applications involves a very large number of security and privacy considerations. An incomplete list of examples of such considerations includes the possibility of breaching users' privacy by gaining unauthorized access to microphones and video cameras in users' workspaces or homes; security leaks due to unauthorized content sharing; and the possibility of undesired fingerprinting of users or their endpoints through enumeration of connected devices. For example, the virtual desktop server 302 includes at least one security policy, and execution by the client RTC API engine 308 of at least part of the redirected portion of the real-time media application is based on the at least one security policy. WebRTC redirection needs to address these concerns, and may also implement a number of additional policy and monitoring features in the area of security and privacy, including the following.

Enabling administrators to define “automatic allow”, “automatic deny”, or “ask user” policies for WebRTC redirection in general and for specific subsets of WebRTC functionality (e.g., access to microphones, cameras, speakers, or screen content, as well as all the same features in the fallback scenario).

Allowing user identity, membership in a security group, or other user attributes, to be used as input to a WebRTC related policy.

Allowing application identity to be used as input to a WebRTC related policy. For example, the application virtualization framework may automatically detect a particular SaaS application, and apply policies specific to that application.

Allowing endpoint location (physical or network) to be used as input to a WebRTC related policy. For example, for endpoints in a secure location the framework may automatically disallow video and content sharing, allowing only audio sessions.

Network connectivity steering, ICE extensions and SDP rewriting will now be discussed. A large portion of WebRTC functionality lies in enabling peer to peer network connectivity for real-time media. The following briefly identifies the technologies used for this:

WebRTC implements the ICE (Interactive Connectivity Establishment) procedure to identify all possible connectivity options between two real time media endpoints.

As part of ICE procedure, WebRTC collects all connectivity candidates-local network endpoints (transport/IP address/port tuples) available for communications.

WebRTC can work with one or more connectivity servers (alternatively known as media relay servers, STUN servers, TURN servers, or ICE servers)—network servers that facilitate connectivity by allowing endpoints to probe the network for existence of NAT (using the STUN protocol), and to create media relay points on the servers and use these ports as alternative connectivity candidates (using the TURN protocol).

WebRTC uses the SDP protocol (Session Description Protocol) to encode and exchange network connectivity details. SDP messages (session description) contain full descriptions of media sessions, including information about connectivity candidates.

Lack of network connectivity or impaired network connectivity are very typical concerns for desktop virtualization deployments. To address these, the WebRTC redirection framework can use the following novel techniques: 1) tunneled server-side transport fallback, and 2) changing the set of ICE servers.

In the tunneled server-side transport fallback, ideally, endpoints should be able to exchange media streams directly over UDP, and if that is not possible, use TURN servers to relay the media packets. If neither of these options is available, real-time connectivity would not be possible.

WebRTC redirection has components running on the virtual desktop server and on the client, providing an additional connectivity option. Namely, it is possible to tunnel the stream of media packets between the client and the server through a dedicated or shared virtual channel, and use a port or a set of ports on the server as the network endpoint. This transport option can be very useful in many scenarios, for example when neither direct connectivity nor relay servers are available.

To implement this option, the WebRTC redirection framework must a) implement the functionality to open a server-side UDP port from the connector on demand, and relay media packets between it and the client-side engine through a virtual channel, b) use the server-side IP address and port as an additional candidate for the ICE process. ICE requires this to be repeated for all media streams where additional connectivity is necessary.

In changing the set of ICE servers, a WebRTC application typically receives the set of ICE servers from an application specific source—e.g., the server-side portion of the application. The WebRTC redirection framework can extend, change, or replace the application-defined set of ICE servers with a framework specific set of one or more servers, to implement various types of traffic steering functionality.

For example, a multipurpose gateway or branch appliance integrated with the desktop virtualization framework may serve as an additional ICE (media relay) server. The WebRTC redirection framework may make this server automatically available for media traffic managed by virtualized WebRTC application. Alternatively, the WebRTC framework may replace the set of ICE servers that the application intends to use with a different set. This may be determined using network connectivity probing, dynamic DNS, or other similar techniques, to improve media quality by optimal media stream routing.

In WebRTC activity and quality monitoring, WebRTC redirection framework has complete visibility into real-time media activity and can implement various types of activity and quality monitoring. For example, real-time media monitoring statistics can be combined with other resource usage and quality metrics produced by the desktop virtualization framework, and used to present a more comprehensive view to systems and applications administrators and other decision makers.

In a virtual app/desktop session collaboration, a shared HDX session use case will be discussed. During HDX virtual session sharing or collaboration there will be an initiator and any number of collaborators. The HDX session will always be owned by the initiator. The initiator invites the collaborators to join or share the session. All collaborators will have separate protocol stacks at Receiver.

At the Virtual Desktop server all collaborators could share the protocol stack. The management of the collaboration session, including policies, invitation, authentication, security, input arbitration, and other core mechanisms related to the shared HDX session lifetime are outside the scope of this disclosure.

The server connector code could aggregate devices from all endpoints. For example, Webcams can be enumerated from the initiator and all collaborators and presented to the get user media WebRTC API (NavigatorUserMedia, getUserMedia( )) in the context of the app. Thereafter, all the info (Webcam names) will be sent to the initiator and the collaborators so Receivers can implement accelerated Peer-to-Peer (P2P) overlays. Each client endpoint should filter out their own Webcam.

In case any one of the initiator or the collaborators does not support the accelerated WebRTC functionality, the virtual desktop server connector code could operate in “dual” mode, i.e., remote WebRTC where possible, and fallback to host-side rendering for purposes of remoting to WebRTC-redirection incapable client endpoints.

Upon fallback, injected code will defer to the built-in WebRTC engine to enumerate local devices, which may in turn invoke other virtual channel functionality to enumerate client devices and perform non-optimized redirection, for example via generic Audio redirection or graphics remoting virtual channels. The support of non-optimized redirection in shared sessions is VC specific and outside the scope of this disclosure. An alternative approach would be to disable WebRTC remoting for all collaborators, but this is more limiting.

In the event the initiator or a collaborator disconnects from the shared session, either on purpose or accidentally, e.g., as a result of network disruption, disconnect events will be raised to the server connector code. This in turn will notify the hosted app via the WebRTC API that media devices from the disconnected endpoint are no longer available. Thereafter, the event will be sent to the other client endpoints (remaining initiator or collaborators) so receivers can update the list of accelerated Peer-to-Peer (P2P) overlays.

Functional background may be provided in the following references, all of which are assigned to the current assignee of the present application and which are all incorporated by reference in their entirety:

Remoting Audio and Video Extensions (RAVE); Methods and Apparatus for Generating Graphical and Media Displays at a Client: U.S. Pat. Nos. 8,131,816; 8,671,213; and 9,325,759.

Reverse RAVE (Webcam Redirection); Systems and Methods for Remotely Presenting a Multimedia Stream: U.S. Pat. Nos. 9,191,425; and 9,203,883.

Flash Redirection; Systems and methods for remoting multimedia plugin calls: U.S. Pat. No. 8,296,357.

HTML5 Video Redirection; Multimedia redirection in a virtualized environment using a proxy server: U.S. Pat. Nos. 9,124,668; and 9,571,599.

Browser Content Redirection; Redirection of Web Content: Provisional—ID1340 (B&W ref 007737.00826); Managing Browser Session Navigation Between One or More Browsers: Provisional—ID1368US (B&W ref 007737.00827).

Several patents that cover Citrix HDX Real-time Optimization Pack component architecture include: U.S. Pat. Nos. 8,949,316; 8,869,141; 8,799,362; and 8,601,056, sharing the title “Scalable high-performance interactive real-time media architectures for virtual desktop environments”.

However, as explained in detail above, the novelty of this disclosure lies in specific functions and interactions of the injected code, connector, and engine modules that are designed to optimize real time media APIs and WebRTC in particular.

Many modifications and other embodiments will come to the mind of one skilled in the art having the benefit of the teachings presented in the foregoing descriptions and the associated drawings. Therefore, it is understood that the disclosure is not to be limited to the specific embodiments disclosed, and that modifications and embodiments are intended to be included within the scope of this disclosure. 

That which is claimed:
 1. A server comprising: at least one processor configured to perform the following: execute a media application to provide media streaming that includes at least one video stream and at least one overlay on the at least one video stream; redirect a portion of the media streaming by providing a placeholder to indicate positioning geometry of the at least one video stream within a media window, with the placeholder to include the at least one overlay; detect the placeholder and determine positioning geometry associated therewith; and determine a color and an alpha blending factor of the at least one overlay based on calculations involving different colors of the at least one underlay at different times.
 2. The server according to claim 1 wherein said processor is configured to provide the placeholder based on the following: provide a first color for an underlay of the placeholder at a first time; and provide a second color for the underlay of the placeholder at a second time.
 3. The server according to claim 2 wherein said processor is configured to determine the color and the alpha blending factor of the at least one overlay based on calculations involving the first color for the underlay of the placeholder at the first time, and the second color for the underlay of the placeholder at the second time.
 4. The server according to claim 1 wherein said processor is further configured to provide the at least one video stream, the positioning geometry of the at least one placeholder, and the color and the alpha blending factor of the at least one overlay to a client device for the client device to overlay the at least one video stream over the at least one placeholder within a displayed media window based on the positioning geometry, and to overlay the at least one overlay in the color and alpha blending factor associated therewith.
 5. The server according to claim 1 wherein the color and the alpha blending factor for the at least one overlay is determined for each pixel in the placeholder.
 6. The server according to claim 1 wherein the color and the alpha blending factor for the at least one overlay is determined based on the following equations: (pixel color at time 1)=(1−alpha)*(underlay color at time 1)+alpha*(overlay color) (pixel color at time 2)=(1−alpha)*(underlay color at time 2)+alpha*(overlay color) where alpha=1−(pixel color at time 2−pixel color at time 1)/(underlay color at time 2−underlay color at time 1); where overlay color=(pixel color−(1−alpha)*underlay color)/alpha; where pixel color corresponds to a blended color of the underlay color and the at least one overlay color at time 1 or at time 2; wherein alpha corresponds to the alpha blending factor; and wherein the overlay color corresponds to the color of the at least one overlay.
 7. The server according to claim 6 wherein said processor is further configured to vary the first and second colors to improve color contrast between the underlay color and the at least one overlay color.
 8. The server according to claim 1 wherein the media application comprises a real-time media application providing real-time communications (RTC), and wherein said processor is further configured to redirect the portion of the real-time media communications based on injected JavaScript code for WebRTC API redirection.
 9. The server according to claim 1 wherein said processor is configured to redirect the portion of the media streaming based on at least one of the following: DirectShow filter, DirectX Media Object (DMO) filter, Media Foundation filter, HTML5 video redirection module, Flash video redirection module, Browser Helper Object (BHO), browser extension.
 10. The computing system according to claim 1 wherein said processor is further configured to perform the following: generate non-accelerated graphics for the redirected portion of the media streaming; and analyze the non-accelerated graphics for the at least one placeholder and the at least one overlay.
 11. The method according to claim 1 wherein the media application comprises a real-time media application providing real-time communications (RTC), and wherein redirecting the portion of the real-time media communications is based on injected JavaScript code for WebRTC API redirection.
 12. A method comprising: executing a media application to provide media streaming that includes at least one video stream and at least one overlay on the at least one video stream; redirecting a portion of the media streaming by providing a placeholder to indicate positioning geometry of the at least one video stream within a media window, with the placeholder to include the at least one overlay; detecting the placeholder and determine positioning geometry associated therewith; and determining a color and an alpha blending factor of the at least one overlay based on calculations involving different colors of the at least one underlay at different times.
 13. The method according to claim 12 wherein providing the placeholder comprises: providing a first color for an underlay of the placeholder at a first time; and providing a second color for the underlay of the placeholder at a second time.
 14. The method according to claim 13 wherein the calculations involving different colors of the at least one underlay at different times involve the first color for the underlay of the placeholder at the first time, and the second color for the underlay of the placeholder at the second time.
 15. The method according to claim 12 further comprising providing the at least one video stream, the positioning geometry of the at least one placeholder, and the color and the alpha blending factor of the at least one overlay to a client device for the client device to overlay the at least one video stream over the at least one placeholder within a displayed media window based on the positioning geometry, and to overlay the at least one overlay in the color and alpha blending factor associated therewith.
 16. The method according to claim 12 wherein the color and the alpha blending factor for the at least one overlay is determined for each pixel in the placeholder.
 17. The method according to claim 12 wherein the color and the alpha blending factor for the at least one overlay is determined based on the following equations: (pixel color at time 1)=(1−alpha)*(underlay color at time 1)+alpha*(overlay color) (pixel color at time 2)=(1−alpha)*(underlay color at time 2)+alpha*(overlay color) where alpha=1−(pixel color at time 2−pixel color at time 1)/(underlay color at time 2−underlay color at time 1); where overlay color=(pixel color−(1−alpha)*underlay color)/alpha; where pixel color corresponds to a blended color of the underlay color and the at least one overlay color at time 1 or at time 2; wherein alpha corresponds to the alpha blending factor; and wherein the overlay color corresponds to the color of the at least one overlay.
 18. The method according to claim 17 further comprising varying the first and second colors to improve color contrast between the underlay color and the at least one overlay color.
 19. A computing system comprising: at least one video source to provide at least one video stream; and a server comprising at least one processor configured to perform the following: execute a media application to provide media streaming that includes at least one video stream and at least one overlay on the at least one video stream, redirect a portion of the media streaming by providing a placeholder to indicate positioning geometry of the at least one video stream within a media window, with the placeholder to include the at least one overlay, detect the placeholder and determine positioning geometry associated therewith, and determine a color and an alpha blending factor of the at least one overlay based on calculations involving different colors of the at least one underlay at different times.
 20. The computing system according to claim 19 further comprising a client device comprising: a display to display the media window; and a processor configured to perform the following: communicate with said server through a virtual channel to execute the redirected portion of the media application, and receive the at least one video stream, the positioning geometry of the at least one placeholder, and the color and the alpha blending factor of the at least one overlay so as to overlay the at least one video stream over the at least one placeholder within the displayed media window based on the positioning geometry, and to overlay the at least one overlay in the color and alpha blending factor associated therewith. 